Hesam Kazemi* 1, Seyed Yousef Paighambari 1, Moslem Daliri 2, Reza Abaspour Naderi 3

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1 International Journal of Aquatic Biology (2013) 1(4): ISSN: Journal homepage: NPAJournals. All rights reserved Original Article Length-weight and length-length relationships, condition factors and optimal length of some fish species from the Persian Gulf and Oman Sea Hesam Kazemi* 1, Seyed Yousef Paighambari 1, Moslem Daliri 2, Reza Abaspour Naderi 3 1 Department of Fisheries, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran. 2 Faculty of Marine Science and Technology, Hormozgan University, Bandar Abbas, Iran. 3 Iranian Fisheries Organization, Tehran, Iran. Abstract: Length-weight relationships (LWRs), relative condition factor (Krel), relative weight (Wr) and optimal length (Lopt) were calculated for five important commercial fishes from Iranian waters of the Persian Gulf and Oman Sea. Samples were collected from 2011 and December 2012 in 11 stations in three Iranian provinces (Hormuzgan, Khozestan and Sistan and baluchestan) using trawl and gillnets. Also, length-length relationships (LLRs) for Pampus argenteus and Scomberomorus commerson were computed. The values of the exponent b in the length-weight relationship ranged from for S. commerson to for P. argenteus. Krel varied between 1.01 ± 0.08 for Parastromateus niger and 1.06 ± 0.41 for P. argenteus. Also, Wr ranged from ± 47.74% for S. commerson to ± % for Eleutheronema tetradactylum. The Lopt were calculated for all five species. A negative allometric growth was found in S. commerson, while other four species (E. tetradactylum, Otolithes ruber, P. niger and P. argenteus) had isometric growth. The length-weight and length-length relationships presented here are for the first time in the Iranian coastal waters of the Persian Gulf and Oman Sea, which can provide a basis for fisheries management. Article history: Received 19 May 2013 Accepted 30 June 2013 Available online 20 August 2013 Keywords: Length-weight relationship Marine fish Condition factor Optimum length Persian Gulf Introduction The Persian Gulf is lying in sub-tropical climate and located between latitudes N and longitudes E (Kampf and Sadrinasab, 2006; Valinassab et al., 2006). At the end of eastern side of the Persian Gulf, the Hormuz Strait restricts the water exchange between the Persian Gulf and the Northwestern Indian Ocean. A wide variety of marine biota are found in the Persian Gulf, including sea turtles, marine birds, dugongs, whales, dolphins and many (over 500) fish species. Many of the fishes are endemic and heavily dependent on the Gulf environment (UNEP, 1999). In the last decade, fish landing has been decreased from 110,000 tonnes to 87,240 tonnes in the Persian Gulf (Valinassab et al., 2006; Planning and Development Department, 2003). There are few studies on fishing management and biological information on fish resources in the region (Hosseini, 2002; Shokri et al., 2005; Raeisi et al., 2011; Daliri et al., 2012). Length-weight relationships (LWRs) are often used to estimate biomass of the standing stock (Martin, 1996), condition indices, ontogenetic changes (Sarafan, 1992) and growth studies (Garcia et al., 1989; Haimovici and Velasco, 2000; Moutopoulos and Stergion, 2002). A LWRs study for a species can provides important insights into the ecology of the species (Froes, 2006). * Corresponding author: Hesam Kazemi address: hesam_pep@yahoo.com

2 168 Kazemi et al/ International Journal of Aquatic Biology (2013) 1(4): Length-length relationships (LLRs) are useful for standardization of length type when data are summarized (Froes, 1998) and also functional for comparative growth studies (Moutopoulos and Stergiou, 2002). This study reports LWRs, LLRs, condition factors and optimum size (Lopt) of Eleutheronema tetradactylum (Shaw, 1804), Otolithes ruber (Bloch and Schneider, 1801), Parastromateus niger (Bloch, 1795), Pampus argenteus (Euphrasen, 1788) and Scomberomorus commerson (Lacepede, 1800) from the Persian Gulf and Oman Sea. LWRs and LLRs data are available for most fishes of the world, while these data are unavailable in tropical fish species. All these species are of the most commercial importance in the area and this study is the first report of its type on these species from the Persian Gulf (Froes and Pauly, 2012). Material and method Sampling was carried out from May 2011 to June 2012 in 11 stations (10 stations using gillnet and 1 by trawl) in the Iranian coastal waters of the Persian Gulf and Oman Sea (Fig. 1). Nominal mesh sizes of gillnets for Pampus argenteus, Scomberomorus commerson and Parastromateus niger, were 135 mm and 95 mm for Otolithes ruber and Eleutheronema tetradactylum. A shrimp trawl net with 25 mm and 40 mm nominal mesh size of cod-end and panel, respectively, was used for Pampus argenteus and Scomberomorus commerson, where we measured length-length relationships data. After each catch operation subsamples were collected from 5-10% of the total catch and fork length (FL) or total length (TL) were measured to the nearest 0.1 cm using a measuring board. Total weight was measured to the nearest 0.1 g using an electronic balance. The relationship between FL or TL (L) and total weight (W) usually expressed by the equation W= a L b, which W is weight in gram and L is length in centimeters (Ricker, 1975). LWR parameters (a and b) have been calculated from the logarithmic equivalent as Log W= log a + b log L (Zar, 1984). LLRs were determined by the same method: FL = a TL where FL = fork length and TL = total length. The 95% confidence limits of b-value were calculated using the equation 95% cl = b±t0.05, n-2.sb, where n is the number of specimens and Sb is the standard error of the slope (b). A t-test was used to compare the b-values, which obtained in the linear regression, with isometric values for each species (Sokal and Rohlf, 1987): Ts = (b-3)/sb, where Ts is the t test value, b is the LWR parameter and Sb the standard error of the b-value. The relative weight (Wr) and relative condition factor (Krel) were computed using the equations, Wr = 100 (W/Ws), where Wr is the relative weight, W is the total weight of a specimens and Ws is a standard weight (75 percentile of observed weights at that length; Wege and Anderson, 1978), Krel = W/(a L b ), where W is the body weight in g, L is total length in cm, a and b are LWR parameters (Le cren, 1951). The optimal length (Lopt) was computed by the following equations (Froese and Binohlan, 2000; Froese 2006); Lopt = log Linf , Linf = log Lmax, where Linf is the asymptotic length and Lmax is the mean length of the three largest specimens caught in last 20 years (from data in this study; Carpenter et al., 1997; Asadi et al., 1996). Results A total of 3089 specimens of five important commercial fish species of the Persian Gulf belonging to five families were collected from 11 stations. Length and weight characteristics and parameters of LWRs of all species, confidence limit of b, standard error of a, r 2 and correlation coefficient (r) are presented in Table 1. The r 2 for all five species were over and all regressions (LWRs) are significantly different from 0 (P<0.05). The estimates of the parameter b ranged from for Scomberomorus commerson to for Pampus argenteus. The length-length relationship parameters for Pampus argenteus and

3 169 Kazemi et al/ International Journal of Aquatic Biology (2013) 1(4): Table 1. The length and weight data and parameters of length-weight relationship (LWR) of five commercial fish species in the Persian Gulf (May 2011 to June 2012). Sciaenidae Otolithes ruber 398 TL N: the number of samples, SD: standard deviation, S.E: standard error and Cl: 95% confidence limits, FL: fork length (cm), TL: total length (cm), total weight is in g. Pampus argenteus Family Species Length ratio (TL/FL) characteristic Weight characteristic LWR parameters N TL/FL Mean SD Min Max Mean SD Min Max a SE b Cl r 2 r Stromateidae Pampus argenteus 1089 FL Scombridae Scomberomorus commerson 582 FL Carangidae Parastromateus niger 858 FL Polynemidae Eleutheronema tetradactylum 162 FL Table 1. The length data and length-length relationship (LLR) of two marine fish species in the Persian Gulf. Data are taken from trawl station. Species TL characteristics FL characteristics LLR parameters N Mean SD Min Max Mean SD Min Max a SE b Cl r 2 Scomberomorus commerson N: the number of samples, SD: standard deviation, S.E: standard error and CL: 95% Confidence limits, FL: fork length (cm), TL: total length (cm).

4 170 Kazemi et al/ International Journal of Aquatic Biology (2013) 1(4): Table 3. Table 3. Relative weight (Wr) of five fish species of Persian Gulf during May 2011 to June Species Ws W r Mean SD Min Max 95% Cl Pampus argenteus Scomberomorus commerson Parastromateus niger Otolithes ruber Eleutheronema tetradactylum Table 4. The optimum length (Lopt in cm) of five different fish species in Persian Gulf. Pampus argenteus Scomberomorus commerson Parastromateus niger Otolithes ruber Eleutheronema tetradactylum Lopt Table 5. The parameters of the length-weight relationship (LWR) of selected species in the region and other location of the world. Species Location Length sex a b Authors Eleutheronema tetradactylum Chilka lake TL unsexed Patnalk (1969) Bushehr (Northwest of Persian gulf) FL unsexed Daliri et al. (2012) Parastromateus niger Bangladesh, bay of Bangal FL unsexed Mustafa (1999) Indonesia, western region 5-38 TL unsexed Pauly et al. (1996) Bangladesh, bay of Bangal SL unsexed Pati (1981) Otolithes ruber Kuwait SL unsexed Hussain and Abdullah (1971) Bangladesh, bay of Bangal SL male Pati (1981) Bangladesh, bay of Bangal SL female Pati (1981) Pampus argenteus Korea Rep, East China and southern Korean waters FL unsexed Lee et al. (1992) Scomberomorus Persian gulf, coastal waters of Iran FL male Persian gulf, coastal waters of Iran FL female Sadeghi et al. (2009) Sadeghi et al. (2009) commerson Queens land, east coast stock FL unsexed McPherson (1992)

5 169 Kazemi et al/ International Journal of Aquatic Biology (2013) 1(4): Figure 1. The map of the study area with trawl ( ) and gillnet sampling points ( ). Scomberomorus commerson are shown in Table 2. The r 2 values for both species were greater than The t-test for LWRs showed that Eleutheronema tetradactylum (ts = 0.174), Otolithes ruber (ts = 1.38), Parastromateus niger (ts = 1.02) and Pampus argenteus (ts = 0.013) were isometric in growth while, Scomberomorus commerson (ts = 2.731) showed negative allometric growth (all computations were considered at α = 5%). The mean relative condition factors (Krel) was (± 0.021) and it ranged from 1.01 (± 0.08) for Parastromateus niger to 1.06 (± 0.41) for Pampus argenteus (Fig. 2). Relative weight (Wr) of all species are tabulated in Table 3. Values were ranged between ± 47.74% for Scomberomorus commerson to ± % for Eleutheronema tetradactylum. The optimal length (Lopt) of all species are presented in Table 4. Discussion The length-weight relationship is a very important tool in fisheries assessment (Garcia et al., 1989; Haimovidici and Velasco, 2000; Arslan et al., 2004) and also standing crop biomass can be estimated based on this value (Morey et al., 2003). Froese (2006) expressed that the exponent b should normally lies between 2.5 to 3.5. The b-value ranged from (for scomberomorus commerson) to (for pampus argenteus) in this study, so the Figure 2. T Relative condition factor (Krel) (± SD) of five fish species from Iranian waters of the Persian Gulf. parameters can be used safely within the indicated length ranges. Previous studies on the parameters of the LWR of selected species in Persian Gulf and other location of the world presented in Table5. In general, the variations in parameters (Table 5) may occur according to sex, gonad maturity, season, habitat type, health, food availability, environmental condition (such as temperature and salinity), degree of stomach fullness, differences in the length range of the caught specimens, sampling procedure and fishing gear (Bagenal and Tesch, 1978; Avşar, 1988; Wootton, 1992; Froese, 2006). Also, field measurement can be fluctuating according to differences in fish surface wetness; boat movements and other adverse environmental condition (Gutreuter and Krzoslen, 1994). Isometric growth (b = 3) for Eleutheronema tetradactylum, Otolithes ruber, Parastromateus niger and Pampus argenteus indicated that length increases with body weight (Gayanilo and Pauly, 1997) and small specimens have the same form and condition of large specimens (Froese, 2006). However, Scomberomorus commerson shows negative allometric growth (b < 3), the condition decreases with increase of age or elongation of form and increase of length (Hile, 1936). Condition factors are used to compare the condition, fatness, or well-being (Tesch, 1968) of fishes, based on the assumption that heavier fish of a given length are in better condition (Froese, 2006). Lecren (1951) provided an equation for calculating relative

6 Kazemi et al/ International Journal of Aquatic Biology (2013) 1(4): condition factor (Krel) which compares the observed weight of an individual with the mean weight of the same length. The relative weight (Wr) that indicates the percentage of the weight of an individual fish in comparison to the standard weight at the same length (Wege and Anderson, 1978), which can be used as a management tool for fisheries managers. In this study, Eleutheronema tetradactylum (Wr = ± %) had the largest relative weight showing the best performance, whereas Scomberomorus commerson (Wr = 59.1 ± 47.74%) was not a proper representative of the environmental condition. Froese and Binohlan (2000) represented the equation of the optimal length (Lopt) which indicates the fit size of fish species for catch. For most iteroparous fishes (Lopt) lies between the first and second spawning, thus, making overfishing is theoretically impossible (Mayers and Mertz, 1998; Froese, 2006), so these data can be useful for fisheries management in the region. Here, the sex of specimens and seasonal variations were not determined, so it can be considerable for future studies. References Arslan M., Yildirim A., Bekta S. (2004). Lengthweight relationship of brown trout, Salmo trutta L., inhabiting Kan Stream, Çoruh Basin, North-Eastern Turkey. Turkish Journal of Fisheries and Aquatic Sciences, 4: Avsar D. (1988). Balikçilik Biyolojisi ve Populasyon Dinamiği. Baki Kitabevi, Adana, Turkey. Bagenal T.B., Tesch F.W. (1978). Age and growth. In: T.B. Bagenal (Ed.). Methods for the assessment of fish production in fresh waters. Blackwell Scientific Publication, Oxford, pp Carpenter K.E., Krupp F., Jones D.A., Zajonz U. (1997). Living marine resources of Kuwait, Eastern Saudi Arabia, Bahrain, Qatar and UAE. FAO Species Identification Field guide for Fishery Purposes, Rome, Italy, FAO Publication. Daliri M., Paighambari S.Y., Shabani M.J., Pouladi M., Davoodi R. (2012). Length-weight and lengthgirth relationships, relative weight and relative condition factor of four commercial fish species of Northern Persian Gulf. Annual Review Research Biology, 2: Asadi H., Dehghani poshtrudi R., Jahanbakhsh M. (1997). Atlas of the Persian Gulf & the Sea of Oman fishes. Iranian Fisheries Research and Training Organization. 226 p. Froese R. (1998). Length-weight relationships for 18 less studied fish species. Journal of Applied Ichthyology, 14: Froese R., Binohlan C. (2000). Empirical relationships to estimate asymptotic length, length at first maturity and length at maximum yield per recruit in fishes, with a simple method to evaluate length frequency data. Journal of Fish Biology, 56: Froese R. (2006). Cube law, condition factor and length-weight relationships: history, meta-analysis and recommendations. Applied Ichthyology, 22: Froese R., Pauly D. (2012). FishBase. Available from: Retrieved 7 September Garcia C.B., Buarte J.O., Sandoval N., Von Schiller D., Mello N.P. (1989). Length-weight relationships of demersal fishes from the Gulf of Salamanca, Colombia Fishbyte, 21: Gayanilo Jr., F.C., Pauly D. (1997). The FAO- ICLARM Fish Stock Assessment Tools (FiSAT): reference manual. FAO Computerized Information Series Fisheries No. 8. FAO, Rome. 262 p. Gutreuter S., Krzoska D.J. (1994). Quantifying precision of in situ length and weight measurements of fish. North American Journal of Fisheries Management, 14: Haimovici M., Velasco G. (2000). Length-weight relationship of marine fishes from southern Brazil. The ICLARM Q, 23: Hile R. (1936). Age and growth of the cisco Leucichthys artedi (Le Sueur), in the lakes of the north-eastern highlands, Wisconsin. Bulletin of the United States Bureau of Fisheries, 48: Hosseini S.A. (2002). Some biological aspects of Thunnus albacres and Katsuwonus pelamis in Oman

7 171 Kazemi et al/ International Journal of Aquatic Biology (2013) 1(4): Sea (Sistan-o-Balochestan Province). Iranian Journal of Fisheries Science, 11: Hussain N.A., Abdullah M.A.S. (1977). The lengthweight relationship, spawning season and food habits of six commercial fishes in Kuwaiti waters. Indian Journal Fish, 24(1/2): Kampf J., Sadrinasab M. (2006). The circulation of the Persian Gulf: a numerical study. Ocean Science, 2: Le Cren E.D. (1951). The length weight relationship and seasonal cycle in gonad weight and condition in the perch (Perca fluviatilis). Journal of Animal Ecology, 20: Lee D.W., Kim Y.M., Hong B.Q. (1992). Age and growth of silver pomfret (Pampus argenteus) in Korean waters. Bulletin of National Fisheries Research and Development Agncy (Korea), 46: Martin-Smith K.M. (1996). Length/weight relationships of fishes in a diverse tropical freshwater community, Sabah, Malaysia. Journal of Fish Biology, 49: McPherson G.R. (1992). Age and growth of the narrow-barred Spanish mackerel (Scomberomorus commerson, Lacepede 1800) in north-eastern Queensland Waters. Australian Journal Marine Freshwater Research, 43: Morey G., Moranta J., Massuti E., Grau A., Linde M., Riera F., Morales-Nin B. (2003). Weight-length relationships of littoral to lower slope fishes from the western Mediterranean. Fisheries Research, 62: Moutopoulos D.K., Stergiou K.I. (2002). Lengthweight and length-length relationships of fish species from Aegean Sea (Greece). Applied Ichthyology, 18: Mustafa G.R. (1999). Population dynamics of penaeid shrimps and demersal finfishes from trawl fishery in the Bay of Bengal and implication for the management. PhD thesis, University of Dhaka, Bangladesh. 223 p. Myers R.A., Mertz G. (1998). The limits of exploitation: a precautionary approach. Applied Ecology, 8: Pati S. (1981). Observation on the length-weight relationship of pomfrets from the Bay of Bengal. Mahasagar-Bulletion of National Institute of Oceanography, 14: Patnalk S. (1969). A contribution to the fishery and biology of chilka sahal, Eleutheronema tetradatylum (Shaw). Central Inland fisheries research substation, Cuttack. Pauly D., Cabanban A., Torres F.S.B. (1996). Fishery biology of 40 trawl caught teleosts of western Indonesia. In: Pauly D., Martosubroto P. (Ed.). Baseline studies of biodiversity: the fish resource of western Indonesia. ICLARM Stud. Rev. 23: Planning and Development Department (2003). Fishery statistics yearbook ( ). Tehran, Iran: Iran Fisheries Company. Raeisi H., Daliri M., Paighambari S.Y., Shabani M.J., Bibak M., Davoodi R. (2011). Length-weight relationships, condition factors and relative weight of five fish species of Bushehr waters, Northern Persian Gulf. African Journal of Biotechnology, 10: Ricker W.E. (1975). Computation and interpretation of biological statistics of fish populations. Bulletin. Fisheries Research Board of Canada, 191: 382 p. Sadeghi M.S., Kaymaram F., Jamili S., Fatemi M.R., Mortazavi M.S. (2009). Patterns of reproduction and spawning of the Scomberomorus commerson in the coastal waters of Iran. Journal of Fisheries and Aquatic science, 4: Safran P. (1992). Theoretical analysis of the weight length relationship in fish juveniles. Marine Biology. 112: Shokri M.R., Fatemi S.M.R., Crosby, M.P. (2005). The status of butterfly fishes (Chaetodontidae) in the northern Persian Gulf. Aqua. Conser. Marine Freshwater Ecosystem, 15: Sokal R.R., Rohlf F.J. (1987). Introduction to biostatistics, 2nd ed. Freeman Publication, New York. 363 p. Tesch F.W. (1968). Age and growth. In: Methods for assessment of fish production in fresh waters. W. E.

8 Kazemi et al/ International Journal of Aquatic Biology (2013) 1(4): Ricker (Ed.). Blackwell Scientific Publications, Oxford, pp UNEP. (1999). Overview on Land Based Sources and Activities Effecting the Marine Environment in the ROPME Sea Area. UNEP/GPA coordination office and ROPME, 127 p. Valinassab T., Daryanabard R., Dehghani R., Pierceo G.R. (2006). Abundance of demersal fish resources in the Persian Gulf and Oman Sea. Marine Biology Association, 86: Wege G.J., Anderson R.O. (1978). Relative weight (Wr): a new index of condition of largemouth bass. In: New approaches to management of small impoundments. G. Novinger and J. Dillard (Ed). American Fisheries Society, North Central Division, Special Publication, 5. Bethesda, MD, pp Wootton R.S. (1992). Fish ecology. Printed in Great Britain by Thomson Litho Ltd., Scotland. Zar J.H. (1984). Biostatistical analysis. Prentice Hall, New Jersey. 718 p.

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